Role - Sr. Systems Engineer – Storage Systems
Location - Remote
Shift - 6.30 PM onwards
About Trantor Inc
Trantor Inc. is a global technology services and consulting company headquartered in Palo Alto, California, with delivery centers across the USA, Canada, and India. We partner with Fortune 500 companies and high-growth enterprises to drive digital transformation through Product Engineering, Cloud Enablement, Data & AI Solutions, Automation, and Customer Success Services. At Trantor, we thrive in a collaborative, agile, and people-first environment.
Why Join Trantor?
Trantor offers the opportunity to work on diverse, cutting-edge projects in a culture that values innovation, continuous learning, and collaboration. Enjoy the flexibility of a hybrid/remote role while contributing to impactful initiatives in a truly global organization.
About the Opportunity
The Infrastructure Systems Engineering team is building next generation private cloud infrastructure as part of a strategic initiative to bring critical workloads in-house and support future growth.
The environment supports a highly scaled distributed database platform that executes over 7 million tests per month and processes petabytes of storage daily. As the platform continues to grow, we are seeking engineers who can design, build, optimize, and troubleshoot storage systems at scale.
As a Sr. Systems Engineer – Storage Systems, you will work on the design, implementation, performance optimization, and reliability of large-scale distributed storage infrastructure. This role focuses on low-level systems engineering, storage architecture, distributed systems, Linux internals, and performance engineering.
You will collaborate with a small team of highly skilled engineers who value first-principles thinking, technical curiosity, data-driven decision making, and ownership.
Key Responsibilities
Storage Systems Engineering
- Design and develop distributed storage infrastructure and services.
- Build scalable, fault-tolerant storage architectures capable of supporting high-performance database workloads.
- Develop and optimize storage components responsible for data placement, replication, recovery, and consistency.
- Improve storage performance, scalability, and operational efficiency across large-scale environments.
- Design and implement solutions for high availability, fault tolerance, and disaster recovery.
Performance Engineering
- Analyze and optimize storage latency, throughput, and resource utilization.
- Identify bottlenecks across storage, memory, CPU, and networking subsystems.
- Perform low-level profiling and performance tuning of storage-intensive workloads.
- Drive benchmarking and performance validation efforts.
Linux & Systems Development
- Develop systems software in Linux environments.
- Work with Linux kernel interfaces, filesystems, memory management, and I/O subsystems.
- Troubleshoot complex performance and reliability issues at the operating system level.
- Contribute to system-level tooling and observability capabilities.
Distributed Systems
- Design and troubleshoot distributed systems operating at scale.
- Investigate consistency, replication, and failure-recovery challenges.
- Participate in architecture reviews and technical design discussions.
- Own systems throughout the entire lifecycle from design through production support.
Required Qualifications
Experience
- 5+ years of experience developing systems software.
- Proven experience designing, building, or optimizing distributed storage systems.
- Strong understanding of storage architecture and distributed systems concepts.
- Experience working on performance-critical infrastructure systems.
- Experience troubleshooting complex production environments.
Technical Expertise
Deep expertise in one or more of the following:
- Distributed Storage Systems
- Object Storage
- Distributed File Systems
- Storage Performance Engineering
- Filesystem Development
- Linux Kernel Development
Programming
Strong proficiency in at least one of:
Experience with at least one scripting language:
Linux
Strong understanding of:
- Linux internals
- Filesystems
- Memory management
- I/O subsystems
- Process scheduling
- Performance tuning
Distributed Systems
Experience with:
- Replication
- Fault tolerance
- Consistency models
- High availability architectures
- Distributed debugging
Preferred Qualifications
Storage Technologies
Experience with one or more of:
- Ceph
- OpenZFS / ZFS
- GlusterFS
- Object Storage Platforms
- SAN
- NAS
- iSCSI
- LVM
- NVMe-oF
- RDMA
Performance & Observability
Experience using:
- perf
- eBPF
- BPF
- pcm
- Tracing and profiling tools
Additional Experience
- Kernel modules, filesystems, or storage driver development.
- High-performance computing (HPC) environments.
- Large-scale distributed database infrastructure.
- Familiarity with SingleStore or distributed SQL databases.
- Experience supporting AI/ML infrastructure workloads.
Pay: ₹4,000,000.00 - ₹5,000,000.00 per year
Application Question(s):
- What is your notice period?
- Do you have experience in Kernel?
Work Location: Remote
